Scheduling electric power production at a wind farm

We present a model for scheduling power generation at a wind farm, and introduce a particle swarm optimization algorithm with a small world network structure to solve the model. The solution generated by the algorithm defines the operational status of wind turbines for a scheduling horizon selected by a decision maker. Different operational scenarios are constructed based on time series data of electricity price, grid demand, and wind speed. The computational results provide insights into management of a wind farm.

► A model for scheduling wind turbines at a wind farm is presented.
► A particle swarm algorithm with a small world network structure solves the model.
► Different operational scenarios are constructed and solved.
► Computational results provide insights into management of a wind farm.